{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "974f7b64-e829-49e1-b139-e2b5f642537c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(i,s):\n",
    "    \n",
    "    return s-i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "78012d26-056b-457a-ac9b-70f729454df7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def c(i):\n",
    "    if  i in ['sort','hash','md5','hello','cryptography']:\n",
    "        return 'Webservice'\n",
    "    if 'bigdata' in i:\n",
    "        return 'Bigdata'\n",
    "    if 'stream' in i:\n",
    "        return 'Stream'\n",
    "    return 'ML Inference'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7948a35d-020a-400b-991e-56fc7f7b81bb",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'pandas'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-1a793753c046>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mcol_data\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Platform\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"ActionName\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"Requests\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"StartTime\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"EndTime\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"Avg_RT\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"50%\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"75%\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"90%\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"95%\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"99%\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"throughputs\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"FailRate\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"Mode\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\"OverallRequest\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"datas/overview.csv\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcol_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mActionName\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pandas'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "col_data=[\"Platform\",\"ActionName\",\"Requests\",\"StartTime\",\"EndTime\",\"Avg_RT\",\"50%\",\"75%\",\"90%\",\"95%\",\"99%\",\"throughputs\",\"FailRate\",\"Mode\",\"OverallRequest\"]\n",
    "data = pd.read_csv(\"datas/overview.csv\",names=col_data)\n",
    "\n",
    "data['c'] = data.apply(lambda x:c(x.ActionName),axis=1)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f0f7d16f-27fe-49a0-847e-7be3b6f26d2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "col_res = [\"name\",\"invokeTime\",\"startTime\",\"endTime\",\"radio\",\"schedulingLatency\"]\n",
    "result_kl = pd.read_csv(\"datas/kubeless/mix/result.csv\",names=col_res)\n",
    "result_of = pd.read_csv(\"datas/openfaas/mix/result.csv\",names=col_res)\n",
    "result_ow = pd.read_csv(\"datas/openwhisk/mix/result.csv\",names=col_res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "03c9acc9-3441-4a0c-bd1c-02764abea7b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ow['schedulingLatency'] = result_ow.apply(lambda x: f(x.invokeTime, x.startTime), axis=1)\n",
    "result_ow['radio'] = result_ow.apply(lambda x: f(x.startTime, x.endTime), axis=1)\n",
    "# result_kl['radio'] = result_kl.apply(lambda x: f(x.startTime, x.endTime), axis=1)\n",
    "# result_of['radio'] = result_of.apply(lambda x: f(x.startTime, x.endTime), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fe12222f-5f1a-4788-a45e-e54d5075cad2",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_kl['Platform'] = \"Kubeless\"\n",
    "result_of['Platform'] = \"Openfaas\"\n",
    "result_ow['Platform'] = \"Openwhisk\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b3d5714f-3b8b-474d-9227-34f3778e50dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "res = pd.concat([result_kl,result_of,result_ow])\n",
    "# res.sort_values(by=\"invokeTime\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb87e41a-49ea-4884-ab3e-83d4134f8d4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   56,    15],\n",
       "       [   48,    10],\n",
       "       [   49,    12],\n",
       "       ...,\n",
       "       [17476,  3318],\n",
       "       [   92,  2992],\n",
       "       [   64,  2718]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = res.loc[res.Platform == 'Kubeless']\n",
    "df1_np = df1[[\"radio\",\"schedulingLatency\"]].to_numpy()\n",
    "df1_np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e3361278-3b76-42ed-b1ef-caf329ab2fad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = x\n",
    "y = y\n",
    "# s = np.random.rand(*x.shape) * 800 + 500\n",
    "label = 'kubeless'\n",
    "plt.scatter(x, y, c=\"g\", alpha=0.5, marker='1',\n",
    "            label=label)\n",
    "plt.xlabel(\"Schedul Latency\")\n",
    "plt.ylabel(\"Exection Time\")\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7694d5e-6b2c-4f2e-923a-bbaa9ce8330d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3731f029-39cf-4dee-b592-b3250ed1cd7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1584x180 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_theme(style=\"ticks\")\n",
    "f, (ax1, ax2,ax3,ax4,ax6) = plt.subplots(1,5,figsize=(22, 2.5))\n",
    "\n",
    "\n",
    "\n",
    "sns.ecdfplot(ax= ax1, data=data, x=\"50%\",hue='Platform',palette=\"Set1\", \n",
    "             complementary=True)\n",
    "ax1.xaxis.grid(True)\n",
    "ax1.set(ylabel=\"CDF\")\n",
    "ax1.set(xlabel=\"50% RT\")\n",
    "\n",
    "\n",
    "sns.ecdfplot(ax = ax2, data=data, x=\"Avg_RT\",hue='Platform',palette=\"Set1\",  legend=False,\n",
    "             complementary=True)\n",
    "ax2.xaxis.grid(True)\n",
    "ax2.set(ylabel=\"\")\n",
    "\n",
    "sns.ecdfplot(ax = ax3, data=data, x=\"95%\",hue='Platform',palette=\"Set1\",  legend=False,\n",
    "             complementary=True)\n",
    "ax3.xaxis.grid(True)\n",
    "ax3.set(ylabel=\"\")\n",
    "\n",
    "sns.ecdfplot(ax = ax4, data=data, x=\"99%\",hue='Platform',palette=\"Set1\",  legend=False,\n",
    "             complementary=True)\n",
    "ax4.xaxis.grid(True)\n",
    "ax4.set(ylabel=\"\")\n",
    "\n",
    "\n",
    "\n",
    "sns.ecdfplot(ax= ax6, data=data, x=\"FailRate\",hue='Platform',palette=\"Set1\",legend=False,\n",
    "             complementary=True)\n",
    "ax6.xaxis.grid(True)\n",
    "ax6.set(ylabel=\"\")\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "f.savefig(\"RT.png\", bbox_inches='tight', dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "be8965e9-1459-4675-9275-a8ddc1f86a40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x180 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_theme(style=\"ticks\")\n",
    "\n",
    "# Initialize the figure with a logarithmic x axis\n",
    "f, axs = plt.subplots(1,3,figsize=(18, 2.5))\n",
    "axs[0].set_xscale(\"log\")\n",
    "\n",
    "\n",
    "# Plot the orbital period with horizontal boxes\n",
    "sns.boxplot(ax = axs[0], x=\"throughputs\", y=\"c\", data=data,  hue='Platform',\n",
    "            whis=[0, 100], width=.4, palette=\"Set1\")\n",
    "\n",
    "axs[0].xaxis.grid(True)\n",
    "axs[0].set(ylabel=\"Category\")\n",
    "\n",
    "sns.scatterplot(ax= axs[1], data=data, x=\"throughputs\", y=\"Requests\",\n",
    "                hue=\"Platform\",palette=\"Set1\")\n",
    "axs[1].set(ylabel=\"Requests Vol.\")\n",
    "axs[1].xaxis.grid(True)\n",
    "\n",
    "sns.ecdfplot(ax= axs[2], data=data, x=\"throughputs\",hue='Platform',palette=\"Set1\", legend=True,\n",
    "            complementary=True)\n",
    "axs[2].xaxis.grid(True)\n",
    "axs[2].set(ylabel=\"CDF\")\n",
    "\n",
    "f.savefig(\"TP.png\", bbox_inches='tight', dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ce53aac-8bd3-4a65-b226-5af5c95b1a20",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.histplot(\n",
    "    data=data_rt, x=\"year\", y=\"distance\",\n",
    "    bins=30, discrete=(True, False), log_scale=(False, True),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a7982f4b-599f-4c40-866f-a273a34cad4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       sort-python\n",
       "1       sort-python\n",
       "2       sort-python\n",
       "3       sort-python\n",
       "4       sort-python\n",
       "           ...     \n",
       "7200        bigdata\n",
       "7201        bigdata\n",
       "7202        bigdata\n",
       "7203        bigdata\n",
       "7204        bigdata\n",
       "Name: name, Length: 28590, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# res['c'] = res.apply(lambda x:c(x.name),axis=1)\n",
    "res\n",
    "res['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "376615ac-e0a1-44f2-b77f-8e4d86764cfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f5e00d54b20>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 460.35x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "\n",
    "# Load the example planets dataset\n",
    "planets = sns.load_dataset(\"planets\")\n",
    "\n",
    "# cmap = sns.cubehelix_palette(rot=-.2, as_cmap=True)\n",
    "cmap= 'tab20'\n",
    "g = sns.relplot(\n",
    "    data=res,\n",
    "    x=\"radio\", y=\"schedulingLatency\",\n",
    "    hue=\"Platform\",\n",
    "    palette=cmap, \n",
    ")\n",
    "g.set(xscale=\"log\", yscale=\"log\")\n",
    "g.ax.xaxis.grid(True, \"minor\", linewidth=.25)\n",
    "# g.ax.yaxis.grid(True, \"minor\", linewidth=.25)\n",
    "g.despine(left=True, bottom=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4a74406d-744b-4252-9b50-f90a9680f2b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m\n",
       "\u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m*\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mhue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mstyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mrow\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcol\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcol_wrap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mrow_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcol_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mpalette\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mhue_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mhue_norm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msizes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msize_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msize_norm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmarkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mdashes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mstyle_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlegend\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'auto'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'scatter'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0maspect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mfacet_kws\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0munits\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Figure-level interface for drawing relational plots onto a FacetGrid.\n",
       "\n",
       "This function provides access to several different axes-level functions\n",
       "that show the relationship between two variables with semantic mappings\n",
       "of subsets. The ``kind`` parameter selects the underlying axes-level\n",
       "function to use:\n",
       "\n",
       "- :func:`scatterplot` (with ``kind=\"scatter\"``; the default)\n",
       "- :func:`lineplot` (with ``kind=\"line\"``)\n",
       "\n",
       "Extra keyword arguments are passed to the underlying function, so you\n",
       "should refer to the documentation for each to see kind-specific options.\n",
       "\n",
       "The relationship between ``x`` and ``y`` can be shown for different subsets\n",
       "of the data using the ``hue``, ``size``, and ``style`` parameters. These\n",
       "parameters control what visual semantics are used to identify the different\n",
       "subsets. It is possible to show up to three dimensions independently by\n",
       "using all three semantic types, but this style of plot can be hard to\n",
       "interpret and is often ineffective. Using redundant semantics (i.e. both\n",
       "``hue`` and ``style`` for the same variable) can be helpful for making\n",
       "graphics more accessible.\n",
       "\n",
       "See the :ref:`tutorial <relational_tutorial>` for more information.\n",
       "\n",
       "The default treatment of the ``hue`` (and to a lesser extent, ``size``)\n",
       "semantic, if present, depends on whether the variable is inferred to\n",
       "represent \"numeric\" or \"categorical\" data. In particular, numeric variables\n",
       "are represented with a sequential colormap by default, and the legend\n",
       "entries show regular \"ticks\" with values that may or may not exist in the\n",
       "data. This behavior can be controlled through various parameters, as\n",
       "described and illustrated below.\n",
       "\n",
       "After plotting, the :class:`FacetGrid` with the plot is returned and can\n",
       "be used directly to tweak supporting plot details or add other layers.\n",
       "\n",
       "Note that, unlike when using the underlying plotting functions directly,\n",
       "data must be passed in a long-form DataFrame with variables specified by\n",
       "passing strings to ``x``, ``y``, and other parameters.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "x, y : vectors or keys in ``data``\n",
       "    Variables that specify positions on the x and y axes.\n",
       "hue : vector or key in ``data``\n",
       "    Grouping variable that will produce elements with different colors.\n",
       "    Can be either categorical or numeric, although color mapping will\n",
       "    behave differently in latter case.\n",
       "size : vector or key in ``data``\n",
       "    Grouping variable that will produce elements with different sizes.\n",
       "    Can be either categorical or numeric, although size mapping will\n",
       "    behave differently in latter case.\n",
       "style : vector or key in ``data``\n",
       "    Grouping variable that will produce elements with different styles.\n",
       "    Can have a numeric dtype but will always be treated as categorical.\n",
       "data : :class:`pandas.DataFrame`, :class:`numpy.ndarray`, mapping, or sequence\n",
       "    Input data structure. Either a long-form collection of vectors that can be\n",
       "    assigned to named variables or a wide-form dataset that will be internally\n",
       "    reshaped.\n",
       "row, col : vectors or keys in ``data``\n",
       "    Variables that define subsets to plot on different facets.    \n",
       "col_wrap : int\n",
       "    \"Wrap\" the column variable at this width, so that the column facets\n",
       "    span multiple rows. Incompatible with a ``row`` facet.    \n",
       "row_order, col_order : lists of strings\n",
       "    Order to organize the rows and/or columns of the grid in, otherwise the\n",
       "    orders are inferred from the data objects.\n",
       "palette : string, list, dict, or :class:`matplotlib.colors.Colormap`\n",
       "    Method for choosing the colors to use when mapping the ``hue`` semantic.\n",
       "    String values are passed to :func:`color_palette`. List or dict values\n",
       "    imply categorical mapping, while a colormap object implies numeric mapping.\n",
       "hue_order : vector of strings\n",
       "    Specify the order of processing and plotting for categorical levels of the\n",
       "    ``hue`` semantic.\n",
       "hue_norm : tuple or :class:`matplotlib.colors.Normalize`\n",
       "    Either a pair of values that set the normalization range in data units\n",
       "    or an object that will map from data units into a [0, 1] interval. Usage\n",
       "    implies numeric mapping.\n",
       "sizes : list, dict, or tuple\n",
       "    An object that determines how sizes are chosen when ``size`` is used.\n",
       "    It can always be a list of size values or a dict mapping levels of the\n",
       "    ``size`` variable to sizes. When ``size``  is numeric, it can also be\n",
       "    a tuple specifying the minimum and maximum size to use such that other\n",
       "    values are normalized within this range.\n",
       "size_order : list\n",
       "    Specified order for appearance of the ``size`` variable levels,\n",
       "    otherwise they are determined from the data. Not relevant when the\n",
       "    ``size`` variable is numeric.\n",
       "size_norm : tuple or Normalize object\n",
       "    Normalization in data units for scaling plot objects when the\n",
       "    ``size`` variable is numeric.\n",
       "style_order : list\n",
       "    Specified order for appearance of the ``style`` variable levels\n",
       "    otherwise they are determined from the data. Not relevant when the\n",
       "    ``style`` variable is numeric.\n",
       "dashes : boolean, list, or dictionary\n",
       "    Object determining how to draw the lines for different levels of the\n",
       "    ``style`` variable. Setting to ``True`` will use default dash codes, or\n",
       "    you can pass a list of dash codes or a dictionary mapping levels of the\n",
       "    ``style`` variable to dash codes. Setting to ``False`` will use solid\n",
       "    lines for all subsets. Dashes are specified as in matplotlib: a tuple\n",
       "    of ``(segment, gap)`` lengths, or an empty string to draw a solid line.\n",
       "markers : boolean, list, or dictionary\n",
       "    Object determining how to draw the markers for different levels of the\n",
       "    ``style`` variable. Setting to ``True`` will use default markers, or\n",
       "    you can pass a list of markers or a dictionary mapping levels of the\n",
       "    ``style`` variable to markers. Setting to ``False`` will draw\n",
       "    marker-less lines.  Markers are specified as in matplotlib.\n",
       "legend : \"auto\", \"brief\", \"full\", or False\n",
       "    How to draw the legend. If \"brief\", numeric ``hue`` and ``size``\n",
       "    variables will be represented with a sample of evenly spaced values.\n",
       "    If \"full\", every group will get an entry in the legend. If \"auto\",\n",
       "    choose between brief or full representation based on number of levels.\n",
       "    If ``False``, no legend data is added and no legend is drawn.\n",
       "kind : string\n",
       "    Kind of plot to draw, corresponding to a seaborn relational plot.\n",
       "    Options are {``scatter`` and ``line``}.\n",
       "height : scalar\n",
       "    Height (in inches) of each facet. See also: ``aspect``.    \n",
       "aspect : scalar\n",
       "    Aspect ratio of each facet, so that ``aspect * height`` gives the width\n",
       "    of each facet in inches.    \n",
       "facet_kws : dict\n",
       "    Dictionary of other keyword arguments to pass to :class:`FacetGrid`.\n",
       "units : vector or key in ``data``\n",
       "    Grouping variable identifying sampling units. When used, a separate\n",
       "    line will be drawn for each unit with appropriate semantics, but no\n",
       "    legend entry will be added. Useful for showing distribution of\n",
       "    experimental replicates when exact identities are not needed.\n",
       "kwargs : key, value pairings\n",
       "    Other keyword arguments are passed through to the underlying plotting\n",
       "    function.\n",
       "\n",
       "Returns\n",
       "-------\n",
       ":class:`FacetGrid`\n",
       "    An object managing one or more subplots that correspond to conditional data\n",
       "    subsets with convenient methods for batch-setting of axes attributes.\n",
       "\n",
       "Examples\n",
       "--------\n",
       "\n",
       ".. include:: ../docstrings/relplot.rst\n",
       "\u001b[0;31mFile:\u001b[0m      ~/anaconda3/envs/tinker/lib/python3.8/site-packages/seaborn/relational.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
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